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dc.contributor.authorBlum, Christian
dc.contributor.authorPuchinger, Jakob
dc.contributor.authorRaidl, Günther
dc.contributor.authorRoli, Andrea
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.identifier.citationBlum, C. [et al.]. A brief survey on hybrid metaheuristics. A: Bioinspired Optimization Methods and their Applications. "4th International Conference on Bioinspired Optimization Methods and their Applications". Ljubljana: 2010, p. 3-16.
dc.description.abstractThe combination of components from different algorithms is currently one of most successful trends in optimization. The hybridization of metaheuristics, such as ant colony optimization, evolutionary algorithms, and variable neighborhood search, with techniques from operations research and artificial intelligence plays hereby an important role. The resulting hybrid algorithms are generally labelled hybrid metaheuristics. The rising of this new research field was due to the fact that the focus of research in optimization has shifted form an algorithm-oriented point of view. In this brief survey on hybrid metaheuristics we provide an overview on some of the most interesting and representative developments.
dc.format.extent14 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.titleA brief survey on hybrid metaheuristics
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorBlum, C.; Puchinger, J.; Raidl, G.; Roli, A.
upcommons.citation.contributorBioinspired Optimization Methods and their Applications
upcommons.citation.publicationName4th International Conference on Bioinspired Optimization Methods and their Applications

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